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Pypar - Parallel Python, no-frills MPI interface

The python module pypar.py and the C-extension mpi.c 
implements scalable parallelism on distributed and shared 
memory architectures using the essential subset of 
the Message Passing Interface (MPI) standard.


- Python interpreter is not modified: 
  Parallel python programs need only import the pypar module.

- Flexibility: Pypar allows communication of general Python objects 
  of any type.  
- Intuitive API: 
  The user need only specify what to send and to which processor.
  Pypar takes care of details about 
  data types and MPI specifics such as tags, communicators and buffers.
  Receiving is analogous.
- Efficiency:
  Full bandwidth of C-MPI programs is achieved for consecutive Numerical 
  arrays. Latency is less than twice that of pure C-MPI programs. 
  Test programs to verify this are included (pytiming, ctiming.c)
- Lightweight:
  Pypar consists of just two files: mpiext.c and pypar.py	    

Source Files

Filename Size Changed Actions
pypar-2.1.0.tar.gz 26.2 KB Download File
pypar-2.1.0_66.tgz 109 KB Download File
python-pypar.spec 2.35 KB Download File
x86_64_args_setup.py.diff 611 Bytes Download File

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